"Ali Ghodsi, the CEO and cofounder of data intelligence company Databricks, is betting his privately held startup can be the latest addition to the trillion-dollar valuation club. In August, Ghodsi told the Wall Street Journalthat he believed Databricks, which is reportedly in talks toraise funding at a $134 billion valuation, had "a shot to be a trillion-dollar company." At Fortune's Brainstorm AI conference in San Francisco on Tuesday, he explained how it would happen, laying out a "trifecta" of growth areas to ignite the company's next leg of growth."
"The first is entering the transactional database market, the traditional territory of large enterprise players like Oracle, which Ghodsi said has remained largely "the same for 40 years." Earlier this year, Databricks launched a link-based offering called Lakehouse, which aims to combine the capabilities of traditional databases with modern data lake storage, in an attempt to capture some of this market."
"The company is also seeing growth driven by the rise of AI-powered coding. "Over 80% of the databases that are being launched on Databricks are not being launched by humans, but by AI agents," Ghodsi said. As developers use AI tools for "vibe coding"-rapidly building software with natural language commands-those applications automatically need databases, and Ghodsi they're defaulting to Databricks' platform. "That's just a huge growth factor for us. I think if we just did that, we could maybe get all the way to a trillion," he said."
"The second growth area is Agentbricks, Databricks' platform for building AI agents that work with proprietary enterprise data. "It's a commodity now to have AI that has general knowledge," Ghodsi said, but "it's very elusive to get AI that really works and understands that proprietary data that's inside enterprise." He pointed to the Royal Bank of Canada, which built AI agents for equity research analysts, as a"
Databricks, a privately held data intelligence company reportedly in talks to raise funding at about $134 billion, is positioning to reach a trillion-dollar valuation through three growth areas. The company plans to enter the transactional database market with Lakehouse, combining traditional database features and modern data lake storage. Rapid adoption of AI-powered coding is generating databases automatically via AI agents and natural-language "vibe coding." Agentbricks focuses on building AI agents that access and understand proprietary enterprise data, addressing the gap between commodity general-knowledge AI and enterprise-specific knowledge, with examples such as the Royal Bank of Canada deployment.
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